
Data Scientist Position
1 week ago
Machine Learning Engineer Job Opportunity
- About the Role:
- As a skilled machine learning engineer, you will leverage strong technical expertise in complex data environments to drive business outcomes through innovative and efficient solutions.
- You will utilize a solid foundation in mathematics and statistics to inform model development and evaluation.
- Design, architect, and develop robust machine learning solutions with a focus on integrating Large Language Models (LLMs) where applicable.
- Collaborate effectively within Agile Scrum teams contributing to iterative development and continuous improvement.
- Document business processes workflows and requirements clearly and comprehensively.
- Engage in close collaboration with various domains within the organization to ensure alignment and understanding of business needs.
- Participate in conceptualization sessions to brainstorm and refine project ideas.
- Required Skills:
- Proficiency in Python, Machine Learning, REST API, and SQL.
- Experience with data processing, cleansing, and verification to ensure data integrity for analysis.
- Conduct data quality checks and exploratory analyses to inform model development.
- Demonstrated programming skills in relevant languages particularly Python and API development.
- Build end-to-end machine learning models including data structures and transformation processes.
- Strong understanding of statistical modeling techniques e.g. Regression Clustering Decision Trees Logistic Regression.
- Familiarity with machine learning algorithms e.g. KNN Random Forests Ensemble Methods Bayesian/Markov Networks.
- Knowledge of data mining concepts and experience with data visualization tools and dashboards.
- Preferred Skills:
- Experience with Large Language Models (LLMs) such as GPT BERT or similar architectures.
- Understanding of natural language processing (NLP) techniques and their applications in business contexts.
- Familiarity with advanced research topics including deep learning kernel methods spectral methods and forecasting.
- Ability to integrate end-to-end ML solutions into product suites and business functions with a focus on LLM applications.
- Design technical frameworks based on various use cases particularly those involving text data and language understanding.
- Identify opportunities to automate analytical processes data extraction and flow processes especially in the context of LLMs.
- Propose hypotheses and design experiments to address specific problems leveraging LLM capabilities where relevant.
- Benefits:
- We are committed to creating a diverse environment and are proud to be an equal opportunity employer.
- All qualified applicants receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability age or veteran status.
- Ongoing Development:
- Stay updated with the latest advancements in machine learning and natural language processing particularly in the context of LLMs.
- Mentor junior team members on best practices in machine learning and LLM implementation.
- Contribute to the development of best practices and standards for machine learning and LLM projects within the organization.
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